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| Content Provider | IET Digital Library |
|---|---|
| Author | Wang, Qing Du, Panfei Dou, Tongdong Gao, Lirong Li, Chun |
| Abstract | Cognitive passive radar (CPR) system is amenable to electromagnetic environment cooperating and optimal strategy making tasks on account of illumination source availability and waveform evaluation. In fact, intelligence will provide performance gain from multi-dimension optimisation. Therefore, we propose a multi-standard multi-scheme compatible wideband CPR framework which selects the most suitable waveform as the passive radar illumination source. First, we develop a software defined radio platform to realise wideband and flexible signal processing, which provides the feasibility of cognition. Then in order to recognise the electromagnetic waveforms, we present a deep learning framework which can be integrated in CPR system as a classifier using convolutional neural networks (CNNs) and long short-term memory (LSTM). Via the proposed innovative passive perception-action cycle, the CPR prototype system demonstrates the real-time, high accuracy modulation recognition ability and the adaptive signal processing ability. Based on our experiments, it can be demonstrated that our CPR prototype system integrated with deep learning is effective and promising. |
| Starting Page | 7326 |
| Ending Page | 7330 |
| Page Count | 5 |
| Volume Number | 2019 |
| e-ISSN | 20513305 |
| Issue Number | Issue 21, Nov (2019) |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/joe/2019/21 |
| Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0628 |
| Journal | The Journal of Engineering |
| Publisher | The Institution of Engineering and Technology |
| Publisher Date | 2019-07-11 |
| Access Restriction | Open |
| Rights License | Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) |
| Subject Keyword | Adaptive Signal Processing Adaptive Signal Processing Ability Classifier CNN Cognitive Passive Radar System Cognitive Radar Convolutional Neural Nets Convolutional Neural Network CPR Prototype System Deep Learning Framework Digital Signal Processing Electrical Engineering Computing Electromagnetic Environment Cooperating Electromagnetic Wave Propagation Electromagnetic Waveform Recognition Flexible Signal Processing Illumination Source Availability Innovative Passive Perception-action Cycle Learning in AI Long Short-term Memory LSTM Mathematical Analysis Multidimension Optimisation Multistandard Multischeme Compatible Wideband CPR Framework Neural Computing Technique Optimal Strategy Optimisation Optimisation Technique Passive Radar Passive Radar Illumination Source Performance Gain Radar Computing Radar Equipment Real-time High Accuracy Modulation Recognition Ability Recurrent Neural Nets Signal Classification Signal Processing And Detection Software Defined Radio Platform Software Radio System And Application Waveform Analysis Waveform Evaluation Wideband Signal Processing |
| Content Type | Text |
| Resource Type | Article |
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